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A Novel Framework to Predict Relative Habitat Selection in Aquatic Systems: Applying Machine Learning and Resource Selection Functions to Acoustic Telemetry Data From Multiple Shark Species

Overview of attention for article published in Frontiers in Marine Science, April 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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25 X users

Citations

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8 Dimensions

Readers on

mendeley
69 Mendeley
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Title
A Novel Framework to Predict Relative Habitat Selection in Aquatic Systems: Applying Machine Learning and Resource Selection Functions to Acoustic Telemetry Data From Multiple Shark Species
Published in
Frontiers in Marine Science, April 2021
DOI 10.3389/fmars.2021.631262
Authors

Lucas P. Griffin, Grace A. Casselberry, Kristen M. Hart, Adrian Jordaan, Sarah L. Becker, Ashleigh J. Novak, Bryan M. DeAngelis, Clayton G. Pollock, Ian Lundgren, Zandy Hillis-Starr, Andy J. Danylchuk, Gregory B. Skomal

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Researcher 14 20%
Student > Master 9 13%
Student > Doctoral Student 4 6%
Other 2 3%
Other 5 7%
Unknown 20 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 33%
Environmental Science 15 22%
Arts and Humanities 1 1%
Physics and Astronomy 1 1%
Earth and Planetary Sciences 1 1%
Other 2 3%
Unknown 26 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 November 2021.
All research outputs
#2,347,526
of 25,083,571 outputs
Outputs from Frontiers in Marine Science
#1,578
of 10,416 outputs
Outputs of similar age
#58,005
of 433,743 outputs
Outputs of similar age from Frontiers in Marine Science
#107
of 452 outputs
Altmetric has tracked 25,083,571 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,416 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 433,743 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 452 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.